Okolnishnikov V., Rudometov S., Sinoviev V., Zhuravlev S. Simulation of longwall coal mining technologies // Proc. of the 28TH European Modeling and Simulation Symposium. Simulation in Industry – 2016, September 26 – 28, 2016, Cyprus. P. 212–215.

Oliveira J.B., Lima R.S., Montevechi J.A.B. Perspectives and relationships in supply chain simulation: a systematic literature review // Simulation Modelling Practice and Theory. 2016. Vol. 62. P. 166-191

Onggo B.S., Karatas M. (2016). Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation // European Journal of Operational Research. 254 (2): 517–531. doi:10.1016/j.ejor.2016.03.050.

Padilla Jose J., Lynch Christopher J., Diallo Saikou Y., Gore Ross J., Barraco Anthony, Kavak Hamdi, Jenkins Bakari. Using simulation games for teaching and learning discrete-event simulation / Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3375-3384.
This paper reports on the creative use of regular simulation tools to develop simulation games with entertainment content aimed towards engaging young learners. Two games are presented: one focuses on the use of decision nodes while the second focuses on the use of batch/separator nodes. As part of future work, we propose to use these games to evaluate how much knowledge transfers from an entertainment context to one using simulations for real-life situations.

Pankratz Bartosz, Kaminski Bogumil. Reliable signals and the sexual selection: agent-based simulation of the handicap principle // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1814-1824.
This paper describes an agent-based simulation extension of Grafen’s model of the handicap principle. The aim of our model is to investigate the possible evolutionary stable equilibria existing in this communication system. We performed analysis of the proposed model using simulation. The obtained results show that there exist equilibria in which cheating is an evolutionary stable strategy and identify conditions needed for such a situation.

Paolieri M., Horvath A., Vicario E. (2016). Probabilistic model checking of regenerative concurrent systems. IEEE Trans. Soft. Eng., to appear (available on-line).

Pasaoglu G., Harrison G., Jones L. et al. A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector // Technological Forecasting and Social Change. 2016. Vol. 104. P. 133-146.

Pedrielli Giulia, Vinsensius Albert, Chew Ek Peng, Lee Loo Hay, Duri Alessandro, Haobin Li. Hybrid order picking strategies for fashion e-commerce warehouse systems // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2250-2261.
In this work, after a detailed analysis of demand and physical layout of the warehouse, we propose: (1) a new pick list generation algorithm considering aspects such as work balancing and picking time minimization, and (2) a family of picking strategies accounting for possible order configurations and warehouse layout. The main contribution of this work is in the development of hybrid order picking strategies: a combination of zone-based and order-based picking with batching.

Peirleitner Andreas J., Altendorfer Klaus, Felberbauer Thomas. A simulation approach for multi-stage supply chain optimization to analyze real world transportation effects // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2272-2283.
The cost effective management of a supply chain under stochastic influences, e.g. in demand or the replenishment lead time, is a critical issue. In this paper a multi-stage and multi-product supply chain is investigated where each member uses the (s,Q)-policy for inventory management.

Penaranda C. et al. An agent-based approach for a smart transport system // Advances in distributed computing and artificial intelligence journal. 2016. Vol. 5. No. 2. P. 67-87.

Petermann Arn, Simon Alexander. Path dependence in hierarchical organizations: The influence of environmental dynamics // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.41-50.
The following paper will describe how path dependent hierarchical organizations are affected by a changing environment. The results of current research in this field (Petermann et al. 2012) analyzed path dependency of norms and institutions in different kinds of hierarchical organizations and the impact of leadership within this process. The results were produced for stable environments only. Agent based simulation was applied as research method. In order to examine how this process evolves when the organizational environment is changing, the existing model will be enhanced. The objective is to simulate the impact of external influences to the emergence of norms within an organization.

Privalov Alexander, Tsarev Alexander. Hybrid model of human mobility for DTN network simulation // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.419-424.
A hybrid model of human mobility is presented. It combines features of the SLAW–type models and the Levy walk models to preserve advantages of the SLAW-type model in simulation of real human mobility and decrease computational time.

Prochaska Katie, Thiesing Renee M. Introduction to Simio // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3594-3603.
This paper describes the Simio modeling system that is designed to simplify model building by promoting a modeling paradigm shift from the process orientation to an object orientation. Simio is a simulation modeling framework based on intelligent objects. Although the Simio framework is focused on object-based modeling, it also supports a seamless use of multiple modeling paradigms including event, process, object, systems dynamics, agent-based modeling, and Risk-based Planning and scheduling.

Quintero-Araujo Carlos L., Juan Angel A., Montoya-Torres Jairo R., Munoz-Villamizar Andres. A simheuristic algorithm for horizontal cooperation in urban distribution: application to a case study in colombia // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2193-2204.
This paper proposes the implementation of a simheuristic. Experiments are carried out using realistic data from the city of Bogotá, Colombia, regarding the distribution of goods to the whole network of the three major chains of convenience stores currently operating in the city. Results show the power of the proposed simheuristic in comparison with traditional solution approaches based on mathematical programming.

Rafieisakhaei Mohammadhussein, Barazandeh Babak. A simulation-based model of technology localization in developing countries // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3682-3683.
In this paper, we present a model to analyze the determinant parameters of technology localization process. The model is based on the system dynamics methodology. Our results show that the technology localization becomes stable after a period of time.

Rebrova N.P., Volovikov B.P., Kovalev A.I., Frik O.V. The promotion of goods within local markets: marketing strategy based on system dynamic methods // Журнал «European journal of economics and management sciences», выпуск № 2, 2016. С.10-20.
Article contains results of researches of the market of consumer goods taking into account dynamics of change of the major factors defining its development. The useful information received as a result of model researches, allowed to reveal the most significant factors defining the main market tendencies and to formulate recommendations for development of strategy of capture of the market. The quantitative values of indicators of investment appeal presented in article are criterion of a choice of the correct decision.

Reid S., Spence D. Methodology for evaluating existing infrastructure and facilitating the diffusion of PEVS // Energy Policy. 2016. Vol. 89. P. 1-10.

Roemer Anna Carina, Strassburger Steffen. A review of literature on simulation-based optimization of the energy efficiency in production // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1416-1427.
The aim of this literature research is to summarize the current state-of-the-art in the field of energy management in production and its adjacent disciplines as well as to identify future research priorities for the simulation-based optimization of energy aspects.

Rozen Kosta, Byrne Neill M. Using simulation to improve semiconductor factory cycle time by segregation of preventive maintenance activities // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2676-2684.
This paper examines the topic of PM (Preventative Maintenance) segregation where the goal is to determine the optimum PM frequency that results in reduced fab cycle time CT. The goal of this paper is to examine the fab-wide impact of PM segregation projects and reveal critical factors that will allow to identify toolsets with the most potential to improve overall fab CT by splitting PMs. Each toolset identified using these factors may improve fab CT by 1% or more, resulting in a very significant gain, if applied on multiple toolsets.

Ruiz-Martin Cristina, Wainer Gabriel, Bouanan Youssef, Zacharewicz Gregory, Paredes Adolfo Lopez. A hybrid approach to study communication in emergency plans // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1376-1387.
Recent disasters have shown the need to improve emergency plans and the importance of the communications while managing the emergency. These communications can be modeled as an information transmission problem in multiplex social networks in which agents interact through multiple interaction channels (layers). Here, we propose a hybrid model combining Agent-Based Modeling, Discrete Event System Specification, Network theory and Monte Carlo Simulation.

Saldivar J.; Vairetti C.; Rodríguez C.; Daniel F.; Casati F.; Alarcon R. 2016. Analysis and Improvement of Business Process Models using Spreadsheets // Information Systems 57, (Apr), 1-19.

Santos Andre F., Tecnico Instituto Superior, de Lisboa Universidade, Bispo Carlos F. Simulation based optimization package for periodic review inventory control // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2867-2878.
This paper presents a simulation based optimization package for periodic review Inventory Control, to study idling and non-idling policies. This package contains three different modules, a Simulink library for system design, an Infinitesimal Perturbation Analysis based simulator, and an optimization procedure based in the Davidon-Fletcher-Powell algorithm. The presented results allow us to extract some very interesting managerial insights and structural properties for multiple machine, multiple products inventory control.

Sapthagirishwaran Thennal Sivaramakrishnan, Shanmugasundaram Chandrasekaran, Dhanapal Jennifer, Sekar Paul Ajaydivyan Jeya, Williams Edward J. Simulation improves operations at a specialized takeout restaurant // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.59-65.
For more than half a century now, discrete-event process simulation has repeatedly proved itself a powerful analytical tool for improving many types of commercial and industrial processes. This analytical power is especially highly valued when the operational complexity and/or stochastic variability of the process exceeds the ability of closed-form equations to model it. Historically, simulation first proved its worth, and was most extensively used, in the analysis and improvement of manufacturing operations. More recently, the use of simulation has expanded vigorously and broadly to include warehousing operations, the delivery of health care (hospitals and clinics), transportation services, and the hospitality industry (amusement parks, hotels, restaurants, and cruise ships). In the successful simulation application described in this paper, simulation was used to model, analyze, and improve the staffing levels and operational procedures of a restaurant – unusually, a restaurant which provides only take-out services, with no «dine-in» capacity. The simulation analysis showed the most effective path to correction of insufficient capacity, distressingly long waiting times, and consequent lost sales and revenue.

Sargent Robert G., Goldsman David M., Yaacoub Tony. A tutorial on the operational validation of simulation models // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.163-177.
This tutorial discusses in depth the operational validation of simulation models after a brief overview of verification and validation of simulation.

Schmaranzer David, Braune Roland, Doerner Karl F. A discrete event simulation model of the viennese subway system for decision support and strategic planning Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2406-2417.
In this paper, we present a discrete event simulation model of the Viennese subway network with capacity constraints and time-dependent demand. The purpose of this model is to support strategic decision making by performing what-if-scenarios to gain managerial insights. First results allow for a bottleneck and a sensitivity analysis.

Schriber Thomas J., Brunner Daniel T., Smith Jeffrey S. Inside discrete-event simulation software: how it works and why it matters // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3720-3721.
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and their management. The implementations of these generic ideas in AutoMod, SLX, ExtendSim, and Simio are described. The paper concludes with several examples of ‘’why it matters’’ for modelers to know how their simulation software works, including discussion of AutoMod, SLX, ExtendSim, Simio, Arena, ProModel, and GPSS/H.

Scott N., Livingston M., Hart A., Wilson J., Moore D., Dietze P. (2016). SimDrink: An Agent-Based NetLogo Model of Young, Heavy Drinkers for Conducting Alcohol Policy Experiments // Journal of Artificial Societies and Social Simulation, 19 (1).
This paper describes a proof-of-concept agent-based model «SimDrink», built in NetLogo, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions.

Seminelli Michael D., Wilson James W., McConnell Brandon M. Implementing discrete event simulation to improve optometry clinic operations // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2157-2168.
As the tempo of military operations slows, Army Medical Facilities are faced with a need to improve the efficiency of their clinics to provide timely service to the growing population of Soldiers who are spending more time at home station. Discrete event simulation was used to examine six scheduling and staffing policies for the Womack Army Medical Center’s Optometry Clinic with a goal of increasing the daily patient throughput of the clinic with consideration to patient waiting times.

Senger Florian, Hartwig Johannes. Combination of an evolutionary agent-based model of transitions in shipping technologies with a system dynamics expectations formulation // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3700-3701.

Shelest M. Lower bound for average delay in transactions processing systems // XV International Symposium Problems of Redundancy in Information and Control Systems (REDUNDANCY). St. Petersburg. 2016. Pp. 142-145.

Shukla Nagesh, Vu Lam Cao, Van Hoang Phuong, Shanahan Marian, Ritter Allison, Perez Pascal. Individual-level Simulation Model for cost benefit analysis in healthcare // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.138-144.
Illicit drug use creates significant burden at societal, family and personal levels. Every year substantial resources are allocated for treatment and the consequences of illicit drug use in Australia and around the world. Heroin is one of the major forms of illicit drugs. Several independent heroin treatment strategies or interventions exist and state-of-the-art research demonstrates their efficacy and relative costeffectiveness. However, assessing total potential gains and burden from providing all treatment interventions or varying the mix of heroin treatments has never been attempted. This paper proposed an individual-level simulation model which addresses net social benefit over a lifetime that can accommodate the complexity of individuals going in and out of multiple treatments and their corresponding costs and benefits arising from different treatments during the life-course of heroin users in the context of New South Wales Australia. This model is intended to serve as an effective tool for economic evaluation and policy making in the illicit drug area in Australia. The validity of the model has been assessed by comparing short term outcomes or examining the status of participants at a various points of time predicted from the model with other data sets that were not used to parameterise the model.

Sokhova Z.B., Redko V.G. Agent-based model of interactions in the community of investors and producers // In: Samsonovich A.V., Klimov V.V., Rybina G.V. (eds.) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016), Advances in Intelligent Systems and Computing book series (AISC). Springer International Publishing Switzerland. 2016. V.449. PP. 235-240.

Sokolov Boris, Kalinin Vladimir, Nemykin Sergey, Ivanov Dmitry. Models and algorithms for abilities evaluation of active moving objects control system // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.467-473.
One of the important problems in active moving objects control system (AMO CS) is the evaluation of goal abilities, i.e., potential of the system to perform its missions in different situations. Thus, the preliminary analysis of information and technological and goal abilities (GA and ITA) of AMO CS is very important in practice and can be used to obtain reasonable means of the АМО exploitation under different conditions. In the paper models and algorithms for abilities evaluation of AMO CS are proposed.

Sprock Timothy, McGinnis Leon F. Simulation optimization in discrete event logistics systems: the challenge of operational control // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1170-1181.
In this paper, we propose a modeling methodology for operational control decision-making that can improve the interoperability between these two analysis methods and their associated tools in the context of discrete event logistics systems control. This methodology establishes a standard definition of operational control for both simulation and optimization methods and defines a mapping between decision variables (optimization) and execution mechanisms (simulation/ base system).

Stahl Ingolf. Discrete event simulation on the Macintosh for business students – aGPSS and alternatives // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3393-3404.
The paper first discusses the importance of discrete event simulation (DES) in the business school curriculum. The paper ends with a brief discussion of some pedagogical aspects of using aGPSS on the Mac in the teaching of basic management science.

Starodubov A.N., Sinoviev V.V., Okolnishnikov V.V. Simulation system of mining works // Proceedings of the 28TH European Modeling and Simulation Symposium. Simulation in Industry – 2016, September 26 – 28, 2016, Cyprus. P. 323–327.

Stephanou A., Volpert V. Hybrid modelling in biology: a classification review // Mathematical Modelling of Natural Phenomena. 2016. V. 11. No. 1. Article No. 1. doi: 10.1051/mmnp/201611103.

Tekippe Andrew J., Krejci Caroline C. Using hybrid simulation modeling to assess the dynamics of compassion fatigue in veterinarian general practitioners // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1352-1363.
This paper presents a three-stage hybrid model designed to study the dynamics of compassion fatigue in veterinarians.

Teng Teck-Hou, Cheng Shih-Fen, Truong Trong-Nghia, Lau Hoong Chuin. Managing egress of crowd during infrastructure disruption // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1316-1327.
In this paper, we propose a novel crowd simulator known as SIM-DISRUPT for simulating egress scenarios in non-emergency situations. To surface the impact of disrupted infrastructure on the egress of crowd, SIM-DISRUPT includes features that allows users to specify selective disruptions as well as strategies for controlling the distribution and egress choices of crowd.

Thiers George, Sprock Timothy, McGinnis Leon, Graunke Adam, Christian Michael. Automated production system simulations using commercial off-the-shelf simulation tools // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1036-1047.
A multi-year research project focused on a global aerospace company’s design-to-production transition, and in particular how to answer production-related questions much earlier in a program’s design cycle than is possible today. This paper summarizes the methodology, its pilot project implementation, and preliminary results.

Timchenko V.S. Imitation model of the losses caused assessment by cargo delivery to the port after term// Проспект Свободный-2016. – 2016. – С. 4-7.

Turnitsa Charles. Heterogeneous models in a multi-model system // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1547-1558.

Tutun S., Wang H., Liu Z., Yıldırım M. F., Khanmohammadi S. An agent based approach for understanding complex terrorism behaviors // Industrial and Systems Engineering Research Conference. – 2016. – 6 p.

Uhlig Tobias, Hillmann Peter, Rose Oliver. Evaluation of the general applicability of dragoon for the k-center problem // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2284-2291.
This paper evaluates Dragoon with a focus on potential worst case behavior in comparison to other techniques. We use an evolutionary algorithm to generate instances of the k-center problem that are especially challenging for Dragoon. Ultimately, our experiments confirm the previous good results of Dragoon, however, we also can reliably find scenarios where it is clearly outperformed by other approaches.

Uhlig Tobias, Rose Oliver, Rank Sebastian. Evaluation of modeling tools for autocorrelated input processes // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1048-1059.
This paper provides a review of available tools to fit and model these processes. In addition to a brief theoretical discussion of the approaches, we provide tool evaluation from a practitioners perspective. The assessment of the tools is based on their ability to model input processes that are either fitted to a trace or defined explicitly by their characteristics, i.e., the marginal distribution and autocorrelation coefficients. In our experiments we found that tools relying on autoregressive models performed the best.

Uhrmacher Adelinde M., Brailsford Sally, Liu Jason, Rabe Markus, Tolk Andreas. Panel – reproducible research in discrete event simulation – a must or rather a maybe ? // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1301-1315.
Making different scientific cultures, different challenges, and different solutions in discrete event simulation explicit is central to improving the reproducibility and thus quality of discrete event simulation research.

Vaira Capt Keegan, Hammond Maj Gregory, Rusnock Maj Christina. Improving fire station turn-out-time using discrete-event simulation // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.3686-3687.

Vasileva Svetlana. Some GPSS opportunities for modeling of timestamp ordering in ddbms and simulation investigations // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.100-106.
This paper considers some opportunities of the system for simulation modelling GPSS World Personal Version for simulating algorithms for transaction concurrency control (CC) in Distributed database management systems (DDBMS). Models of Timestamp ordering (TSO) algorithm and Two-version Two-phase locking (2V2PL) in DDBMS are presented. Both approaches – two version data and timestamps (and others) are used in database management systems for avoiding transaction deadlock. Method of TSO and method of 2V2PL are still not investigated enough. However, the use of timestamps makes the CC algorithms more complex due to the restarting of the transactions from service and the additional waiting for processing. Therefore results of the implementation the simulating algorithms are showed in comparative view.

Viana Joe, Rand-Hendriksen Kim, Simonsen Tone Breines, Barra Mathias, Dahl Fredrik. Do hybrid simulation models always increase flexibility to handle parametric and structural changes? // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1439-1450.
We illustrate selected insights into hybrid simulation through the use of a discrete event simulation (DES) model and a hybrid DES agent based model of the obstetrics department at Akershus University Hospital. Design decisions are not straightforward, and have different impacts on model development and ability to address different scenarios or potential changes.

Wagner Gerd. Introduction to simulation using JavaScript // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.148-162.
This tutorial provides a two-fold introduction: (1) to JavaScript programming using the topic of simulation, and (2) to simulation using the programming language JavaScript. It shows how to implement a Monte Carlo simulation, a continuous state change simulation and a discrete event simulation, using the power of JavaScript and the web.

Wagner Gerd, Seck Mamadou D., McKenzie Frederic D. Process modeling for simulation: observations and open issues // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1072-1083.
We review the state of the art of process modeling for discrete event simulation, make a number of observations and identify a number of issues that have to be tackled for promoting the use of process modeling in simulation. We present an illustrative example of model-based simulation development.

Wagner N., Sahin C., Hanson D., Pena J., Vuksani E., Tello B. (2016). Quantitative Analysis of the Mission Impact for Host-Level Cyber Defensive Mitigations // In Proceedings of the 2016 ACM Spring Simulation Multi-Conference - Annual Simulation Symposium, April, 2016.

Wasusri Thananya, Theerawongsathon Prasit. An application of discrete event simulation on order picking strategies: a case study of footwear warehouses // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.121-127.
A footwear business is one of highly competitive markets. Footwear businesses must continuously improve three main key performance measures namely quality, cost and lead time. The case study is one of footwear businesses in Thailand. As customer demands are fragmented, the company needs to offer different products to serve customers’ satisfaction. Customer orders are then small quantities, but contain serveral different product types. As a result, picking activities in its warehouse are becoming more difficult especially for sport shoes, fashion shoes and sandals. While individual order picking strategy was utilized, it caused long lead time in its picking process. Its delivery performance cannot be achieved. Discrete event simulation modeling using ARENA was conducted to investigate the performance of one order picking, batch picking and zone picking. It was found that the best alternative is zone picking with 4 orders per batch. The picking time can be shortened about 15%.

Wirth E.; Szabo Gy.; Czinkoczky A. (June 7, 2016). Measure of landscape heterogeneity by agent-based methodology // ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. III-8: 145–151.

Xie Wei, Yi Yuan. A simulation-based prediction framework for two-stage dynamic decision making // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2304-2315.
We propose a simulation based prediction framework to support real-time decision making. Specifically, we consider a generalized two-stage dynamic decision model accounting for both input uncertainty and system inherent stochastic uncertainty. Since the risk-adjusted cost objective involves nested risk measures, it could be computationally prohibitive to precisely estimate the system performance, especially for complex stochastic systems. Given a decision policy, in this paper, a metamodel-assisted approach is introduced to efficiently assess the system risk performance in the planning horizon, while delivering a credible interval quantifying the simulation estimation error.

Weimer Christopher W., Miller J. O., Hill Raymond R. Agent-based modeling: an introduction and primer // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.65-79.
This tutorial provides an introduction to tools and resources for prospective modelers, and illustrates agent-based model flexibility with a basic war-gaming example.

Weintrop D., Hjorth A., Wilensky U. (2016). NetLogo Web: Bringing Turtles to the Cloud // Workshop at Constructionism 2016. Bangkok.

White K. Preston, Ingalls Ricki G. The basics of simulation // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.38-52.
Simulation is experimentation with a model. The behavior of the model imitates some salient aspect of the behavior of the system under study and the user experiments with the model to infer this behavior. This general framework has proven a powerful adjunct to learning, problem solving, and design. In this tutorial, we focus principally on discrete event simulation – its underlying concepts, structure, and application.

Wenzler Florian, Gunthner Willibald A. A learning agent for a multi-agent system for project scheduling in construction // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.11-17.
The quality of the project plan created is essential for realizing a construction project. This is a big challenge for planners, because there are many constraints to be considered. The problem to be solved is known as the multi-mode resource-constrained project scheduling problem. This paper presents a multi-agent approach in which resources and processes are represented as collaborative agents. Autonomous process and resource agents register themselves on a central blackboard where resource allocation to activities is negotiated. As expansion to prior works, a learning agent is integrated to improve the solutions created. A discrete-event simulation implements the model and it is evaluated with standardized project plans from the field of operations research.

Wilczynski Andrzej, Kołodziej Joanna. Cloud implementation of agent-based simulation model in evacuation scenarios // Proceedings 30th European Conference on Modelling and Simulation (ECMS). Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD). P.641-647.
Over the years evacuation simulation has become increasingly important in the research on the wide class of problems related to the public security in emergency situations. In this paper we develop simulation platform fully integrated with the cloud system with using the MapReduce programing model and Hadoop framework. The environment illustrating evacuation scenarios and actors is modelled by cell automata and interpreted as a potential field, in which technologies the generated agents are located with using multi-agent. The simulation is executed as a stream-based data-processing operation to enable environmental universality while taking advantage of the MapReduce model. Several test cases are provided to show the efficiency of the simulation platform.

Will T.E. (2016). Flock Leadership: Building Collective Capacity by Managing Group Norms // Presented at the International Leadership Association’s Annual Global Conference, Atlanta, GA.

Will T.E. (2016). Flock Leadership: Understanding and Influencing Emergent Collective Behavior. The Leadership Quarterly, 27: 261-279.

Will T.E. (2016). A Flocking Model of Human Organizing: Leadership Implications // Presented at the Annual Meeting of the Academy of Management, Anaheim, CA.

Winkler Thomas, Barthel Paul, Sprenger Ralf. Modeling of complex decision making using forward simulation // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2982-2991.
The complexity of simulation models has increased during the last years in semiconductor foundries. Manual and automated decisions have to be modeled in detail to make the right conclusions from them. We describe an approach that uses forward simulation to minimize modeling effort and mimics fab behavior to a high degree. The approach is applied to the problem of controlling time link chains.

Wong Zoie Shui-Yee, Lit Albert Chau-Hung, Leung Sin-Yee, Tsui Kwok-Leung, Chin Kwai-Sang. A discrete-event simulation study for emergency room capacity management in a Hong Kong hospital // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1970-1981.
The proposed model is helpful in making decisions about emergency resource planning when there is a sudden surge of emergency patients.

Zambrano Fabian, Concha Pablo, Ramis Francisco, Neriz Liliana, Bull Maria, Veloz Patricio, Carvajal Jaime. Improving patient access to a public hospital complex using agent simulation // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.1277-1288.
This paper uses agent based simulation to assess the effect of redesigning the points of access to a major public hospital complex in Chile, where nearly 15,000 people will pass through daily. The study is carried out by simulating pedestrian traffic in order to calculate density maps and service levels in hospital access and ramps. The simulation allows us to evaluate the flow of people and assess the layout performance, by identifying high patient flow areas and congested pedestrian traffic zones.

Zhang Mengyi, Matta Andrea, Pedrielli Giulia. Discrete event optimization: workstation and buffer allocation problem in manufacturing flow lines // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2879-2890.
Recent research has shown that discrete event optimization framework, an integrated simulation-optimization approach based on mathematical programming, can be used to optimize buffer allocation of production lines, such as open and closed flow lines and pull controlled manufacturing systems. This paper proposes mathematical programming models for solving the joint workstation and buffer allocation problem in manufacturing flow lines constrained to a given target throughput.

Ziarnetzky Timm, Monch Lars. Simulation-based optimization for integrated production planning and capacity expansion decisions // Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. – 2016. Arlington, Virginia, USA. – P.2992-3003.
In this paper, we consider a simplified semiconductor supply chain that consists of a single front-end facility and back-end facility. We present a production planning formulation that is based on clearing functions. The results of the computational experiments demonstrate that the profit can be increased while the maximum possible overall cycle time is not violated.